Digital technologies can enable solutions, but are not the solutions themselves
Is blockchain the best tool to solve your problem? Will machine learning create decision-making that is more equitable? Kyle Novak shares some of the complexity that comes along with emerging technologies and the tensions entrepreneurs must consider when dealing with open data sources.
'You ought to start with defining ‘what is the problem that you are really trying to solve?’ and from that, identify potential solutions that might solve that problem. Once you have identified a specific solution, then identify technologies that can help enable that solution.'
'On the top of the hype curve, machine learning comes in as a means of allowing decisions to be made more equitably. But we see that machine learning often effects the biases that already exist.'
'There are tensions when dealing with responsible data: tensions between transparency and better governance, tensions between privacy and security, and tensions when making better use of data for economic purposes.'
'On the one hand, cloud computing can create huge efficiencies. On the other hand, it may create higher risk and problems dealing with privacy and security. Being able to understand that… and having a certain a level of digital literacy… is going to become more and more important.'